17/WAKU-RLN-RELAY

17/WAKU-RLN-RELAY

Waku v2 RLN Relay

The 17/WAKU-RLN-RELAY protocol is an extension of 11/WAKU-RELAY which additionally provides spam protection using Rate Limiting Nullifiers (RLN).

The security objective is to contain spam activity in a GossipSub network by enforcing a global messaging rate to all the peers. Peers that violate the messaging rate are considered spammers and their message is considered spam. Spammers are also financially punished and removed from the system.

Motivation #

In open and anonymous p2p messaging networks, one big problem is spam resistance. Existing solutions, such as Whisper’s proof of work are computationally expensive hence not suitable for resource-limited nodes. Other reputation-based approaches might not be desirable, due to issues around arbitrary exclusion and privacy.

We augment the 11/WAKU2-RELAY protocol with a novel construct of RLN to enable an efficient economic spam prevention mechanism that can be run in resource-constrained environments.

Flow #

The messaging rate is defined by the period which indicates how many messages can be sent in a given period. We define an epoch as $\lceil$ unix_time / period $\rceil$. For example, if unix_time is 1644810116 and we set period to 30, then epoch is $\lceil$(unix_time/period)$\rceil$ = 54827003. Note that epoch refers to epoch in RLN and not Unix epoch. This means a message can only be sent every period, where period is up to the application. See see section Recommended System Parameters for some recommended ways to set a sensible period value depending on the application. Peers subscribed to a spam-protected pubsubTopic are only allowed to send one message per epoch. The higher-level layers adopting 17/WAKU-RLN-RELAY MAY choose to enforce the messaging rate for WakuMessages with a specific contentTopic published on a pubsubTopic.

Setup and Registration #

Peers subscribed to a specific pubsubTopic form a RLN group.

Peers MUST be registered to the RLN group to be able to publish messages. Registration is moderated through a smart contract deployed on the Ethereum blockchain. Each peer has an RLN key pair denoted by sk and pk. The secret key sk is secret data and MUST be persisted securely by the peer. The state of the membership contract contains the list of registered members' public identity keys i.e., pks. For the registration, a peer creates a transaction that invokes the registration function of the contract via which registers its pk in the group. The transaction also transfers some amount of ether to the contract to be staked. This amount is denoted by staked_fund and is a system parameter. The peer who has the secret key sk associated with a registered pk would be able to withdraw a portion reward_portion of the staked fund by providing valid proof. reward_portion is also a system parameter.

Note that sk is initially only known to its owning peer however, it may get exposed to other peers in case the owner attempts spamming the system i.e., sending more than one message per epoch. An overview of registration is illustrated in Figure 1.

Figure 1: Registration.

Publishing #

To publish at a given epoch, the publishing peer proceeds based on the regular 11/WAKU2-RELAY protocol.
However, to protect against spamming, each WakuMessage (which is wrapped inside the data field of a PubSub message) MUST carry a RateLimitProof with the following fields. Section Payload covers the details about the type and encoding of these fields.

The merkle_root contains the root of the Merkle tree.

The epoch represents the current epoch.

The nullifier is an internal nullifier acting as a fingerprint that allows specifying whether two messages are published by the same peer during the same epoch. The nullifier is a deterministic value derived from sk and epoch therefore any two messages issued by the same peer (i.e., using the same sk) for the same epoch are guaranteed to have identical nullifiers.

The share_x and share_y can be seen as partial disclosure of peer’s sk for the intended epoch. They are derived deterministically from peer’s sk and current epoch using Shamir secret sharing scheme. If a peer discloses more than one such pair (share_x, share_y) for the same epoch, it would allow full disclosure of its sk and hence get access to its staked fund in the membership contract.

The proof field is a zero-knowledge proof signifying that:

  1. The message owner is the current member of the group i.e., her/his identity commitment key pk is part of the membership group Merkle tree with the root merkle_root.
  2. share_x and share_y are correctly computed.
  3. The nullifier is constructed correctly. For more details about the proof generation check RLN The proof generation relies on the knowledge of two pieces of private information i.e., sk and authPath. The authPath is a subset of Merkle tree nodes by which a peer can prove the inclusion of its pk in the group. The proof generation also requires a set of public inputs which are: the Merkle tree root merkle_root, the current epoch, and the message for which the proof is going to be generated. In 17/WAKU-RLN-RELAY, the message is the concatenation of WakuMessage’s payload filed and its contentTopic i.e., payload||contentTopic.

Group Synchronization #

Proof generation relies on the knowledge of Merkle tree root merkle_root and authPath which both require access to the membership Merkle tree. Getting access to the Merkle tree can be done in various ways. One way is that all the peers construct the tree locally. This can be done by listening to the registration and deletion events emitted by the membership contract. Another approach for synchronizing the state of slashed pks is to disseminate such information through a p2p GossipSub network to which all peers are subscribed. This is in addition to sending the deletion transaction to the membership contract. The benefit of an off-chain slashing is that it allows real-time removal of spammers as opposed to on-chain slashing in which peers get informed with a delay, where the delay is due to mining the slashing transaction. For the group synchronization, one important security consideration is that peers MUST make sure they always use the most recent Merkle tree root in their proof generation. The reason is that using an old root can allow inference about the index of the user’s pk in the membership tree hence compromising user privacy and breaking message unlinkability.

Routing #

Upon the receipt of a PubSub message via 11/WAKU2-RELAY protocol, the routing peer parses the data field as a WakuMessage and gets access to the RateLimitProof field.
The peer then validates the RateLimitProof as explained next.

Epoch Validation If the epoch attached to the message is more than max_epoch_gap apart from the routing peer’s current epoch then the message is discarded and considered invalid. This is to prevent a newly registered peer from spamming the system by messaging for all the past epochs. max_epoch_gap is a system parameter for which we provide some recommendations in section Recommended System Parameters.

Proof Verification The routing peers MUST check whether the zero-knowledge proof proof is valid. It does so by running the zk verification algorithm as explained in RLN. If proof is invalid then the message is discarded.

Spam detection To enable local spam detection and slashing, routing peers MUST record the nullifier, share_x, and share_y of incoming messages which are not discarded i.e., not found spam or with invalid proof or epoch. To spot spam messages, the peer checks whether a message with an identical nullifier has already been relayed.

  1. If such a message exists and its share_x and share_y components are different from the incoming message, then slashing takes place. That is, the peer uses the share_x and share_y of the new message and the share'_x and share'_y of the old record to reconstruct the sk of the message owner. The sk then can be used to delete the spammer from the group and withdraw a portion reward_portion of its staked fund.
  2. If the share_x and share_y fields of the previously relayed message are identical to the incoming message, then the message is a duplicate and shall be discarded.
  3. If none is found, then the message gets relayed.

An overview of the routing procedure and slashing is provided in Figure 2.

Figure 2: Publishing, Routing and Slashing workflow.


Payloads #

Payloads are protobuf messages implemented using protocol buffers v3. Nodes MAY extend the 14/WAKU2-MESSAGE with a rate_limit_proof field to indicate that their message is not spam.


syntax = "proto3";

message RateLimitProof {
  bytes proof = 1;
  bytes merkle_root = 2;
  bytes epoch = 3;
  bytes share_x = 4;
  bytes share_y = 5;
  bytes nullifier = 6;
}

message WakuMessage {
  bytes payload = 1;
  string contentTopic = 2;
  uint32 version = 3;
  double timestamp = 4;
+ RateLimitProof rate_limit_proof = 21;
}

WakuMessage #

rate_limit_proof holds the information required to prove that the message owner has not exceeded the message rate limit.

RateLimitProof #

Below is the description of the fields of RateLimitProof and their types.

Parameter Type Description
proof array of 256 bytes the zkSNARK proof as explained in the Publishing process
merkle_root array of 32 bytes in little-endian order the root of membership group Merkle tree at the time of publishing the message
share_x and share_y array of 32 bytes each Shamir secret shares of the user’s secret identity key sk . share_x is the Poseidon hash of the WakuMessage’s payload concatenated with its contentTopic . share_y is calculated using Shamir secret sharing scheme
nullifier array of 32 bytes internal nullifier derived from epoch and peer’s sk as explained in RLN construct

Recommended System Parameters #

The system parameters are summarized in the following table, and the recommended values for a subset of them are presented next.

Parameter Description
period the length of epoch in seconds
staked_fund the amount of ether to be staked by peers at the registration
reward_portion the percentage of staked_fund to be rewarded to the slashers
max_epoch_gap the maximum allowed gap between the epoch of a routing peer and the incoming message

Epoch Length #

A sensible value for the period depends on the application for which the spam protection is going to be used. For example, while the period of 1 second i.e., messaging rate of 1 per second, might be acceptable for a chat application, might be too low for communication among Ethereum network validators. One should look at the desired throughput of the application to decide on a proper period value. In the proof of concept implementation of 17/WAKU-RLN-RELAY protocol which is available in nim-waku, the period is set to 1 second. Nevertheless, this value is also subject to change depending on user experience.

Maximum Epoch Gap #

We discussed in the Routing section that the gap between the epoch observed by the routing peer and the one attached to the incoming message should not exceed a threshold denoted by max_epoch_gap . The value of max_epoch_gap can be measured based on the following factors.

  • Network transmission delay Network_Delay: the maximum time that it takes for a message to be fully disseminated in the GossipSub network.
  • Clock asynchrony Clock_Asynchrony: The maximum difference between the Unix epoch clocks perceived by network peers which can be due to clock drifts.

With a reasonable approximation of the preceding values, one can set max_epoch_gap as max_epoch_gap $= \lceil \frac{\text{Network Delay} + \text{Clock Asynchrony}}{\text{Epoch Length}}\rceil$ where period is the length of the epoch in seconds. Network_Delay and Clock_Asynchrony MUST have the same resolution as period . By this formulation, max_epoch_gap indeed measures the maximum number of epochs that can elapse since a message gets routed from its origin to all the other peers in the network.

Copyright #

Copyright and related rights waived via CC0.

References #

  1. RLN documentation
  2. Public inputs to the RLN circuit
  3. Shamir secret sharing scheme used in RLN
  4. RLN internal nullifier